Gina Simone

15.4k citations
4 papers · 382 · h-index 4

Impact in

    • Parvovirus B19 Infection Studies
    • Clostridium difficile and Clostridium perfringens research
  • Dermatology top 10%
    • Dermatological and COVID-19 studies

Papers in

    • Parvovirus B19 Infection Studies 2
    • Clostridium difficile and Clostridium perfringens research 1
    • Cytomegalovirus and herpesvirus research 2
    • Herpesvirus Infections and Treatments 2

Gina Simone

4 papers receiving 369 citations

Peers

Gina Simone
Comparison fields: 5 of 78
  • Infectious Diseases 124
  • Dermatology 59
  • Periodontics 29
  • Microbiology 23
  • Gastroenterology 18
Replace Mary A. Cutting with:
Mary A. Cutting United States
Magalie Longo France
R Peltonen Finland
Po Yee Wong Hong Kong
Janine Habier Luxembourg
Linda Toresson Sweden
Kyle R. Hager United States
Laura E. Kropp United States
Filip Rob Czechia
M. Del Piano Italy
Gina Simone relative to Mary A. Cutting United States Mary A. Cutting's profile →
Citations per field
00.5×1.5×2.5×
Mary A. Cutting · 1×
Citations per year

Countries citing papers authored by Gina Simone

Since Specialization
Citations

This map shows the geographic impact of Gina Simone's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gina Simone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina Simone more than expected).

Fields of papers citing papers by Gina Simone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina Simone. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gina Simone. The network helps show where Gina Simone may publish in the future.

Co-authors

The 25 scholars most cited alongside Gina Simone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gina Simone Line = papers co-authored together Gina Simone links everyone, so they are left out of the graph.

All Works

About Gina Simone

Gina Simone is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Dermatology and Physiology, having authored 4 papers that have together received 382 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (2 papers), Herpesvirus Infections and Treatments (2 papers), Parvovirus B19 Infection Studies (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper), Toxoplasma gondii Research Studies (1 paper), Diet and metabolism studies (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Infectious Diseases (124 citations), Dermatology (59 citations), Periodontics (29 citations), Microbiology (23 citations) and Gastroenterology (18 citations). Gina Simone has collaborated with scholars based in United States. Frequent co-authors include Wendy A. Keitel, Shital M. Patel, Tessa Madden, Emily Harris, Pamela McInnes, Kjersti M. Aagaard, Joseph F. Petrosino, Mark A. Watson, Dirk Gevers and Mary A. Cutting. Their work appears in journals such as Clinical Infectious Diseases, The FASEB Journal, Vaccine and Journal of the Pediatric Infectious Diseases Society.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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